This is the second post in a series, in which I outline my approach to assessing player value. The first explains the overall objective: to measure the expected contribution of each player in runs. This post then details four main adjustments that I make to historic performances to remove any obvious biases in the data
Read MoreIn this and subsequent posts, I aim to explain my methods for T20 player evaluation. They are not set in stone. Any time I sit down to analyse a player, team, tournament, strategy, there is a decent chance that they will change. I would love to hear other people’s feedback and ideas. If nothing else, writing down my thoughts has forced me to be critical of my own work. Indeed, the methods changed several times even as I documented them
Read MoreIn limited overs cricket, it is a common refrain that batsmen win matches but bowlers win tournaments. Pakistan seemed to prove this point true in the Champions Trophy this year. With the group stages over, we saw the most explosive batting line-up in the tournament fizzle out against a resurgent Pakistan bowling attack. Even without Mohammad Amir, they quickly removed the top order and then proceeded to tame the previously untameable Ben Stokes, who lasted 64 balls but without hitting a single boundary
In the final, Pakistan continued to demonstrate the importance of top bowling. Amir returned and triumphantly dismissed Sharma, Dhawan, and Kohli - the highest run-scorers in the tournament. The brilliant Hasan Ali was fittingly crowned as the player of the tournament
Read MoreThe concepts of win probability in sports fascinates me. I use it frequently when trying to understand the value of players or the impact of events within a cricket match. Here I try to remove the black-box nature of my win probability models
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